Fully interpretable deep learning model using IR thermal images for possible breast cancer cases

Fully interpretable deep learning model using IR thermal images for possible breast cancer cases

Breast cancer remains a global health problem requiring effective diagnostic methods for early detection, in order to achieve the World Health Organization's ultimate goal of breast self-examination. A literature review indicates the urgency of improving diagnostic methods and identifies thermo...

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書目詳細資料
Main Authors:	Mirasbekov, Yerken, Aidossov, Nurduman, Mashekova, Aigerim, Zarikas, Vasilios, Zhao, Yong, Ng, Eddie Yin Kwee, Midlenko, Anna
其他作者:	School of Mechanical and Aerospace Engineering
格式:	Article
語言:	English
出版:	2025
主題:	Engineering Breast cancer Bayesian networks
在線閱讀:	https://hdl.handle.net/10356/184374
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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